The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 02, 2021

Filed:

Dec. 22, 2017
Applicant:

Tusimple, Inc., San Diego, CA (US);

Inventors:

Liu Liu, San Diego, CA (US);

Che Kun Law, San Diego, CA (US);

Ke Quan, San Diego, CA (US);

Assignee:

TUSIMPLE, INC., San Diego, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/00 (2006.01); G06Q 10/00 (2012.01); G05D 1/02 (2020.01); G01C 21/36 (2006.01); G06T 17/05 (2011.01);
U.S. Cl.
CPC ...
G05D 1/0088 (2013.01); G01C 21/3635 (2013.01); G05D 1/0212 (2013.01); G05D 1/0221 (2013.01); G06Q 10/00 (2013.01); G06T 17/05 (2013.01); G05D 2201/0212 (2013.01); G05D 2201/0213 (2013.01);
Abstract

A Method and System for Modeling Autonomous Vehicle Behavior. The system and method makes it feasible to develop an autonomous vehicle control system for complex vehicles, such as for cargo trucks and other large payload vehicles. The method and system commences by first obtaining 3-dimensional data for one or more sections of roadway. Once the 3-dimensional roadway data is obtained, that data is used to run computer simulations of a computer model of a specific vehicle being controlled by a generic vehicle control algorithm or system. The generic vehicle control algorithm is optimized by running the simulations utilizing the 3-dimensional roadway data until an acceptable performance result is achieved. Once an acceptable simulation is executed using the generic vehicle control algorithm, the control algorithm/system is used to run one or more real-world driving tests on the roadway for which the 3-dimensional data was obtained. Finally, the computer model for the vehicle is modified, if necessary (without modifying the control algorithm), until the real-world driving performance is acceptable.


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